An Immune Co-Evolutionary Algorithm-Based Scheduling Approach for Dynamic Network Load Balancing

摘要：

Future Internet should be capable of adaptability to the changes of different users and network environments.An important method for addressing this challenge may apply biologically-inspired computing approaches.We focus on the scheduling problem of network load balancing and design a scheduling agent to control migration behaviors of agents in the network in order to acquire load balancing.The immune co-evolutionary algorithm (ICEA) is proposed used by the scheduling agent.As a demonstration,a network environment with scheduling agent is built that can schedule agents to migrate and accomplish tasks.According to different task amounts,simulations are done through adopting and not adopting load balancing approach.We compare response time under different conditions.The results demonstrate that the scheduling agent can solve the problem of network load balancing.

关键词： Immune co-evolutionary algorithm network load balancing scheduling agent optimization

作者: Xiang-feng Zhang Yong-sheng Ding

作者单位: College of Information Sciences and Technology Donghua University Shanghai 201620,P.R.China College College of Information Sciences and Technology Engineering Research Center of Digitized Textile & Fa

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 514-517

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）